: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
We present a new approach that is able to produce an increased fault tolerance in bio-inspired electronic circuits. To this end, we designed hardwarefriendly genetic regulatory net...
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Abstract. In this paper we propose an approach to Genetic Programming based on code reuse and we test it in the design of combinational logic circuits at the gate-level. The circui...
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...